ATTENDANCE MONITORING SYSYTEM USING FACE RECOGNITION

dc.contributor.author	Kumar, Pushkar
dc.date.accessioned	2024-09-20T04:30:30Z
dc.date.available	2024-09-20T04:30:30Z
dc.date.issued	2023-04
dc.identifier.uri	http://10.10.11.6/handle/1/18232
dc.description	Dept of CSE Galatia’s University Greater Noida UP ABSTRACT	en_US
dc.description.abstract	Face recognition has been a very active research area in the past two decades. Many attempts have been made to understand the process of how human beings recognize human faces. It is widely accepted that face recognition may depend on both componential information (such as eyes, mouth and nose) and non-componential/holistic information (the spatial relations between these features), though how these cues should be optimally integrated remains unclear. This gives an ideal way	en_US
dc.language.iso	en_US	en_US
dc.publisher	Galgotias University	en_US
dc.subject	Python,	en_US
dc.subject	Open-CV,	en_US
dc.subject	Deep Learning,	en_US
dc.subject	Face detection	en_US
dc.title	ATTENDANCE MONITORING SYSYTEM USING FACE RECOGNITION	en_US
dc.type	Technical Report	en_US